Modelling of Alumina Splat Solidification on Preheated Steel Substrate Using the Network Simulation Method
| Autor: | Juan Francisco Sánchez-Pérez, Jose Andres Moreno Nicolas, Andreas Killinger, Noelia González Morales |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Differential equation General Mathematics chemistry.chemical_element 02 engineering and technology 01 natural sciences Network simulation Phase (matter) 0103 physical sciences numerical methods Computer Science (miscellaneous) Ceramic Engineering (miscellaneous) 010302 applied physics ceramic coatings Numerical analysis lcsh:Mathematics network simulation method phases change Mechanics 021001 nanoscience & nanotechnology lcsh:QA1-939 Amorphous solid Substrate (building) chemistry visual_art visual_art.visual_art_medium 0210 nano-technology Tin |
| Zdroj: | Mathematics Volume 8 Issue 9 Mathematics, Vol 8, Iss 1568, p 1568 (2020) |
| ISSN: | 2227-7390 |
| DOI: | 10.3390/math8091568 |
| Popis: | A mathematical model, consisting of a set of differential equations, for the simulation of the alumina splat solidification on steel substrate is presented. The network simulation method is used to solve the problem, which provides the temperatures and the cooling rate in the splat and substrate with a high temporal and spatial resolution for different values of the preheated substrate temperature. The results of this calculation provide important information for the design of ceramic coatings. The model design is explained in depth and simulated in open source software. As expected, the temperature evolutions in several points of the splat, an important variable to know the type of phases and the effect of the manufacturing parameters on this process, coincide with the experimental results. The model is also checked by another experimental test with tin and a bigger splat, which enables the temperature to be measured during solidification. It is worth highlighting the study of the cooling rate, a fundamental parameter to determine the phase, whether amorphous, gamma or alpha. Furthermore, a sensitive study of the mesh was included in order to optimize the computational time. |
| Databáze: | OpenAIRE |
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